Publications

Books

  1. M. Abu-Khalaf, J. Huang, F. L. Lewis, Nonlinear H2/H-infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks Springer Verlag, August 2006.
  2. A. al-Tamimi, M. Abu-Khalaf, F. L. Lewis, Discrete-time Control Algorithms and Adaptive Intelligent Systems Designs, VDM Verlag Dr. Müller Verlag, July 2010.

Book Chapters

  1. M. Abu-Khalaf, F. L. Lewis, “A Neural Network Approach for Nearly Optimal Control of Constrained Nonlinear Systems,” Intelligent Control Systems using Computational Intelligence Techniques, edited by A. Ruano, IEE, London UK, 2005.
  2. A. al-Tamimi, M. Abu-Khalaf, F. L. Lewis, “Model-free adaptive dynamic programming algorithms for H-infinity control of complex linear systems,” Modeling and Control of Complex Systems, CRC Press in the Control Engineering Series, December 2007.
  3. A. al-Tamimi, M. Abu-Khalaf, F. L. Lewis, “Heuristic Dynamic Programming Nonlinear Optimal Controller,” Machine Learning, edited by Abdelhamid Mellouk and Abdennacer Chebira, January 2009.

Refereed Journal Papers

  1. M. Abu-Khalaf, F. L. Lewis, “Nearly Optimal Control Laws for Nonlinear Systems with Saturating Actuators Using a Neural Network HJB Approach,” Automatica, Volume 41, Issue 5, Pages 779-791, May 2005.
  2. M. Abu-Khalaf, F. L. Lewis, “Nearly Optimal State Feedback Control of Constrained Nonlinear   Systems Using a Neural Networks HJB Approach,” IFAC Annual Reviews in Control, vol. 28, pp. 239-251, 2004.
  3. J. Gadewadikar, F. L. Lewis, M. Abu-Khalaf, “Necessary and sufficient conditions for H-infinity static output-feedback control,” Journal of Guidance, Control, and Dynamics, Vol. 29, No. 4, 915-920, July–August 2006.
  4. M. Abu-Khalaf, F. L. Lewis, J. Huang, “Policy Iterations and the Hamilton-Jacobi-Isaacs Equation for H-infinity Statefeedback Control with Input Saturation,” IEEE Transactions on Automatic Control, pp. 1989- 1995, December, 2006.
  5. A. al-Tamimi, M. Abu-Khalaf, F. L. Lewis,  “Adaptive Critic Designs for Discrete-Time Zero-Sum Games with Application to H-Infinity Control,” IEEE Transactions on Systems, Man, Cybernetics-Part B, November 2006.
  6. A. al-Tamimi, M. Abu-Khalaf, F. L. Lewis,  “Model-Free Q-Learning Designs for Discrete-Time Zero-Sum Games with Application to H-Infinity Control,” Automatica, Volume 43, Issue 3, Pages 473-481, March 2007.
  7. J. Gadewadikar, Frank. L. Lewis, L. Xie, V. Kucera, M. Abu-Khalaf,  “Parameterization of All Stabilizing H-infinity Static State-Feedback Gains: Application to Output-Feedback Design,” Automatica, Volume 43, Issue 9, Pages 1597-1604, September 2007.
  8. C. Tao, F. L. Lewis, M. Abu-Khalaf “A Neural Network Solution for Fixed-Final Time Optimal Control of Nonlinear Systems,” Automatica, Volume 43, Issue 3, Pages 482-490, March 2007.
  9. C. Tao, F. L. Lewis, M. Abu-Khalaf “Fixed-Final Time Constrained Optimal Control of Nonlinear Systems Using Neural Network HJB Approach,” IEEE Transactions on Neural Networks, Volume 18, Issue 6, Page(s): 1725 - 1737, Nov 2007.
  10. C. Tao, F. L. Lewis, M. Abu-Khalaf “Neural Network Solution for Finite-Horizon  H-infinity State Feedback Control Of Nonlinear Systems,” International Journal of System Science, Volume 38, Issue 12, pages 1029 - 1041, January 2007.
  11. D. Vrabie, F.L. Lewis and M. Abu-Khalaf, “Biologically Inspired Scheme for Continuous-Time Approximate Dynamic Programming,” The Transactions of the Institute of Measurement and ControlVol 30, No. 3-4, pages 207 – 223, 2008.
  12. M. Abu-Khalaf, F. L. Lewis, “Neuro Dynamic Programming and Zero-Sum Games for Constrained Control Systems,” IEEE Transactions on Neural Networks, Volume 19, Issue 7, pages 1243 – 1252, July 2008.
  13. A. al-Tamimi, F. L. Lewis, M. Abu-Khalaf, “Discrete-time nonlinear HJB solution using Approximate dynamic programming: Convergence Proof,” IEEE Transactions on Systems, Man, Cybernetics-Part B,Volume 38, Issue 4,  pages 943 – 949, Aug 2008.
  14. D. Vrabie, O. Pastravanu, F. Lewis, M. Abu-Khalaf, “Adaptive Optimal Control for Continuous-Time Linear Systems Based on Policy Iteration”, Automatica, Volume 45, Issue 2,  pages 477-484, February 2009.

Citations in Scopus

Refereed and Published Conference Papers

  1. M. Abu-Khalaf, F. L. Lewis, “Nearly optimal HJB solution for constrained input systems using a neural network least-squares approach,” Proceedings of the 41st IEEE Conference on Decision and Control, vol.1, pp 943 – 948, Las Vegas, USA, Dec 2002.
  2. F. L. Lewis, M. Abu-Khalaf, “Nearly optimal state feedback control of constrained nonlinear systems using a neural network HJB approach,” Proceedings of the IFAC International Conference on Intelligent Control Systems and Signal Processing,  Plenary paper, Faro, Portugal, April 2003.
  3. M. Abu-Khalaf, F. L. Lewis, “Nearly Optimal Control Laws for Nonlinear Systems with Saturating Actuators Using a Neural Network HJB Approach,” Proceedings of the 11th Mediterranean Conference on Control and Automation, Rhodos, Greece,  June  2003.
  4. F. L. Lewis, M. Abu-Khalaf, “A Hamilton Jacobi setup for constrained neural network control,”Proceedings of the 2003 IEEE International Symposium on Intelligent ControlPlenary paper, p1–15, Houston, USA, Oct 2003.
  5. M. Abu-Khalaf, F. L. Lewis, J. Huang, “Computational Techniques for Constrained Nonlinear State Feedback H-infinity Optimal Control using Neural Networks,” Proceedings of the 12th Mediterranean Conference on Control and Automation, Kusadasi, Turkey, 2004.
  6. F. L. Lewis, M. Abu-Khalaf, J. Huang, “Robust Optimal Control of Constrained Input Systems Using Neural Networks,” Proceedings of 23rd Chinese Control ConferencePlenary paper, Wuxi, China, August, 2004.
  7. F. L. Lewis, M. Abu-Khalaf, J. Huang, “Hamilton-Jacobi-Isaacs Formulation For Constrained Input Systems: Neural Network Solution,” Proceedings of 2nd IFAC Symposium on System, Structure, and ControlPlenary paper, pp. 1-6, Oaxaca, Mexico, December, 2004.
  8. M. Abu-Khalaf, F. L. Lewis, J. Huang, “Hamilton-Jacobi-Isaacs Formulation for Constrained Input Nonlinear Systems,” Proceedings of the 43rd IEEE Conference on Decision and Control, pp 5034 –5040, Bahamas, Dec 2004.
  9. M. Abu-Khalaf, F. L. Lewis, J. Huang, “Neural network H-infinity State feedback control with actuator saturation: The nonlinear benchmark problem,” Proceedings of the 5th International Conference on Control & Automation, Budapest, Hungary, Jun  2005.
  10. J. Gadewadikar, F. L. Lewis, M. Abu-Khalaf, “Necessary and sufficient conditions for H-infinity static output-feedback control,”  The 7th IASTED International Conference on Control and Applications, Cancun, Mexico, May 2005.
  11. C. Tao, F. L. Lewis, M. Abu-Khalaf “A Neural Network Solution for Fixed-Final Time Optimal Control of Nonlinear Systems,” Proceedings of the 14th Mediterranean Conference on Control and Automation, Italy, 2006.
  12. J. Gadewadikar, F. L. Lewis, L. Xie, V. Kucera, M. Abu-Khalaf,  “Parameterization of All Stabilizing H-infinity Static State-Feedback Gains: Application to Output-Feedback Design,” Proceedings of the 45th IEEE Conference on Decision and Control, San Diego, USA, Dec 2006
  13. M. Abu-Khalaf, F.L. Lewis, A. al-Tamimi, and D. Vrabie, “Model-free adaptive dynamic programming for unknown systems,” The First International Conference on Computer Science & Education, pp. 105-114, Xiamen, China, July 2006.
  14. A. al-Tamimi, F. L. Lewis, M. Abu-Khalaf, "Model-Free Q-Learning Designs for Linear Discrete-Time Zero-Sum Games with Application to H-Infinity Control," European Control Conference, Kos, Greece, July 2007.
  15. F. L. Lewis, M. Abu-Khalaf, A. al-Tamimi, D. Vrabie, "A perspective on the Development of Intelligent Neural Control Systems," European Control Conference, Kos, Greece, July 2007
  16. A. al-Tamimi, D. Vrabie, F. L. Lewis, M. Abu-Khalaf, "Model-free Approximate Dynamic Programming Schemes for Linear Systems," International Joint Conference on Neural Networks, Orlando, Florida 2007.
  17. D. Vrabie, M. Abu-Khalaf, F. L. Lewis, Y. Wang, "Continuous-Time ADP for Linear Systems with Partially Unknown Dynamics," IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning. Apr 01, 2007.

Non-Refereed Conference Papers

  1. Proceedings of the 2003 NSF Design, Service and Manufacturing Grantees and Research Conference, Birmingham, AL, January, 2003
  2. Proceedings of the 2004 NSF Design, Service and Manufacturing Grantees and Research Conference, Dallas, TX, January, 2004
  3. Proceedings of the 2005 NSF Design, Service and Manufacturing Grantees and Research Conference, Scottsdale, AZ, January, 2005
  4. Proceedings of the 2006 NSF Design, Service and Manufacturing Grantees and Research Conference, Saint Louis, MO, July, 2006

Other

  • M. Abu-Khalaf, “Intelligent Tracking of Geostationary Satellites,” Master’s Thesis, The University of Texas at Arlington, August 2000